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Big-Data Software Engineer (KTP Associate)

University of York - Computer Science

Location: Harrogate
Salary: From £38,017 a year (fixed - no increments) with an additional £2,000 pa personal training budget.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 15th February 2021
Closes: 14th March 2021
Job Ref: 9150

Role Description

Duration: 15 months

Based at Jigsaw Insurance Services PLC in Harrogate, you will be part of a Knowledge Transfer Partnership (KTP) between Jigsaw and the University of York, developing real-time analysis of vehicle drivers for the insurance industry.

This is one of two posts available on this KTP. You will be involved in developing a mobile application and a scalable data processing platform to analyse the driver’s performance and detect accidents. This involves the collection, streaming and distributed processing of visual, motion and other sensor data to determine critical events. You will be expected to identify appropriate cutting-edge technologies and use them to develop methods to solve these problems. The other post involves the development of machine learning and computer vision solutions to identify the vehicle user, analyse the driver’s performance and detect accidents in real time. You will be employed by the University of York, and supported by University academics, but will be based at Jigsaw’s site in Harrogate and will work closely with their Analytics team.

The post is full-time and is for 15 months.

The salary is £38,017, fixed for the project duration. There is also an additional £2,000 pa available for personal training and development.

Skills, Experience & Qualifications

  • Preferably you will have a PhD in enterprise computing, distributed systems, big data, or a closely related area. An MSc degree in the same areas will also be considered. Some experience of mobile application development and data processing platforms such as Apache Spark, Flink and Kafka will be an advantage.
  • Extensive coding experience in a relevant language (e.g. Java, Python) is required.
  • You will also have strong presentation, writing, and communications skills.
  • You should be able to work well in a group and under your own initiative, and proactive about suggesting innovative solutions.

Interview date: To be confirmed.

For informal enquiries: please contact (Prof Dimitris Kolovos) on (

The University is committed to promoting a diverse and inclusive community – a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds.

A place where we can ALL be ourselves #EqualityatYork

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